Job Title: Machine Learning Engineer Company: Optimove Job Category: Machine Learning Roles & Responsibilities: Recognized as a Visionary in Gartner's Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 500 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. About the Role This is a role for an engineer who's ready to own meaningful, medium\-sized pieces of our personalisation roadmap end\-to\-end \- from problem framing through to deployment and monitoring \- and trusted to do so with minimal oversight. It's not solo delivery: you'll be working closely with a dynamic team spanning ML, MLOps and software engineering, and should be happy to contribute at every level, from early\-stage research through to production support. Role \& Core Responsibilities * Own the delivery of medium\-sized ML features end\-to\-end within Personalize \- problem framing, data preparation, model build/train, evaluation, deployment and monitoring \- to predictable timelines. * Develop predictive ML models for classification, ranking and personalisation, working with our text data. * Leverage LLMs and other state\-of\-the\-art techniques to enhance product capabilities. * Operationalise models as APIs across real\-time and batch environments. * Monitor production models in your own scope, treating data quality issues and model degradation as a priority. * Research new ML applications and improve pre\-existing models, sharing findings with the wider ML, MLOps and engineering team. * Collaborate closely with product, MLOps and engineering teams to define and prepare new ML applications, contributing meaningfully to planning and grooming. * Proactively surface and resolve technical and data challenges before they affect delivery, model quality or customers. * Exposure to a wide range of ML domains, including large\-scale search, ranking, Natural Language Processing, hybridisation, classification and text data processing. * Working with modern ML technologies, including LLMs, to enhance our products. * Fully real\-time architecture for data processing, model development and deployment. * Deploying and enhancing ML frameworks, optimising for inference and training/retraining cycles. * Online testing of models with live data, using our proprietary A/B/N testing technology to see quickly what performs well. * A supportive, collaborative team spanning ML, MLOps and software engineering, where rapid experimentation is the norm. * Dedicated time to research new methods, build proofs\-of\-concept, and ship to production quickly when they work. * Everyday use of modern AI coding assistants (e.g. Claude) to speed up experimentation and review. This role sits on the in\-role path towards Senior Machine Learning Engineer. As you grow, you'll deepen your expertise in our core ML stack, take on end\-to\-end ownership of larger features, represent the team in cross\-functional planning with MLOps and software engineering. Optimove offers a vibrant, people‑first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We're committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK's Best Workplaces in Tech and for Wellbeing. Work Location: Dundee, Scotland, UK Availability: Full time
Job Title: Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging Company: Snap Inc. Job Category: Machine Learning Roles & Responsibilities: Snap’s Spectacles unit is a world\-class Research \& Development team, working together to pave the way for the future of the camera and wearable computing. We’re working on cutting\-edge capture and AR solutions and are inventing new ways in which computing will be overlaid on the world around us. The Spectacles Computer Vision Team works to solve some of the most important challenges in Computer Vision, Machine Learning, and Augmented Reality. As a Computer Vision \& Machine Learning Engineer on this team, you’ll work on solving tough challenges in ultra\-low\-light and high\-temporal\-resolution imaging, developing novel algorithms for photon\-efficient, event\-driven imaging systems for the next generation of wearable devices. We work on wearables and look to push the boundaries of what is possible. Working from our London office, you will be collaborating closely with other Snap hardware and software teams around the world. * Design, train, and deploy machine learning models and computer vision algorithms tailored for photon\-efficient, event\-driven imaging systems * Contribute to state\-of\-the\-art tracking, depth estimation, and SLAM and ML systems leveraging high\-temporal\-resolution event\-driven data * Develop novel photon\-efficient imaging features and algorithms for the next generation of AR Glasses * Research new machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy of computer vision algorithms in photon\-efficient, event\-driven imaging systems Work with our computer vision team to deliver next\-generation detection (such as face, hand, body etc.) technology for augmented reality systems * Work Location: London, ENG, UK Availability: Full time
Job Title: Applied AIML Lead-Platform AI Acceleration Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As an Applied ML and Generative Lead within J.P.Morgan, you will operate as a hands\-on engineering leader responsible for designing, building, and running production\-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. In this role, you will collaborate closely with Infrastructure Platforms AI teams to address priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. Job Responsibilities * Provide hands\-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed * Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases. * Develop secure, testable services and libraries that integrate LLMs, tool use, RAG, and agentic workflows. * Build end\-to\-end RAG/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re\-ranking, grounding checks. * Implement optimization strategies to fine\-tune generative models for specific NLP use cases, ensuring high\-quality outputs in summarization and text generation. * Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team. * Implement monitoring mechanisms to track AI solution performance in real\-time to ensure reliability and compliance. * Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non\-technical audiences. * Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting\-edge techniques, and leverage external APIs for enhanced functionality. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first\-class business in a first\-class way approach to serving clients drives everything we do. We strive to build trusted, long\-term partnerships to help our clients achieve their business objectives. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Work Location: Glasgow, SCT, UK Availability: Full time
Job Title: Software / Machine Learning Engineer Company: Prima Job Category: Machine Learning Roles & Responsibilities: You’ll be joining over \+350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance. What You’ll Do * Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform. * Analyze and interpret complex data to support the claims management lifecycle. * Contribute directly to the company’s growth and long\-term success through actionable insights. * Collaborate with cross\-functional teams to transform data into intelligence and intelligence into action 🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support. Work Location: London, England, UK Availability: Full time
Job Title: Software Engineer (Mid and Senior Levels) Company: One Big Circle Job Category: Machine Learning Roles & Responsibilities: We are looking for a proactive and motivated individual to join our team to support the business in further growing our flagship award\-winning product: AIVR. AIVR (Automated Intelligent Video Review) is a state\-of\-the\-art video technology system used by thousands of people in the rail industry. AIVR has won dozens of awards and is recognised as the market leading solution, but we are building many more opportunities both in existing and new markets which will further accelerate our growth. We have built a culture where people feel supported, included, and empowered to do their best work. Our team is growing, and we’d love for you to be part of the journey. Available Roles Cloud infrastructure, AWS, distributed systems, backend services, RESTful APIs, microservices architecture, service integration, data pipelines, storage systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3\), IAM permissions (AWS), DevOps security, CI/CD, CI/CD tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge (Node.js), RabbitMQ, FFMPEG, Linux systems administration Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python\-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer, you’ll be a hands\-on contributor, working closely with experienced engineers to build reliable, high\-performance systems across devices, cloud platforms, and applied ML, contributing to real\-world, field\-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills. Responsibilities You will contribute to the development of innovative solutions within a skilled team that likes getting things done: * Design, develop, and maintain software solutions * Contribute to system design and technical decision\-making within the team * Collaborate with adjacent teams to achieve system integration * Take ownership of features, projects, or technical areas (scope matched to experience) * Diagnose and resolve issues with in\-service systems and data * Contribute to code reviews and help maintain high engineering standards * Support continuous improvement of development practices, tooling, and system reliability * Practical and delivery\-focused, balancing engineering rigour with pragmatism * Strong communication skills, able to work effectively with multidisciplinary teams * Self\-motivated and proactive, with a willingness to take ownership of work * Comfortable contributing to code reviews and technical discussions * Willing to support more junior engineers * Keen to grow into greater responsibility for technical direction and project delivery * Auto enrolment Pension Scheme * 25 Days Holiday plus bank holidays * Life Assurance * Private Healthcare Cover * Work related training courses as required * Complimentary snacks and refreshments including fresh fruit * Office\-Centric role * Access to Bike to Work Scheme * Secure bike storage and shower facilities * Social events Please visit our careers page at onebigcircle.co.uk/careers to view our full list of current vacancies, including similar roles that may be of interest. By applying for this role, you understand that we will process your personal information in accordance with our privacy policy, accessible at https://onebigcircle.co.uk/privacy\-policy/ Work Location: In person Work Location: Bristol, ENG, UK Availability: Full time
Job Title: Machine Learning Engineer Company: Xantura Limited Job Category: Machine Learning Roles & Responsibilities: In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities * Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding\-based sequence encoders, temporal survival models, gradient\-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains. * Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely. * Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language \& predictive analytics. * Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. * Mental health and wellbeing support * Remote GP access * Counselling/therapy * Physiotherapy * Medical second opinions Work Location: Greater London, England, UK Availability: Full time
Job Title: Senior AI Developer Company: Netcompany Job Category: Machine Learning Roles & Responsibilities: As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems for our clients. Working alongside senior data scientists, engineers, and consultants, you will contribute to solutions across the full development lifecycle, from data preparation and model development through to production deployment and monitoring. * Solution Development: Support the design and implementation of data science and AI solutions, translating defined requirements into working technical components. * Modelling \& Analysis: Apply established data science and machine learning techniques to analyse data and solve business problems under the guidance of senior team members. * Production \& MLOps: Build, test, and help deploy machine learning models into production environments. Contribute to the design and maintenance of MLOps pipelines to ensure solutions are scalable and maintainable. * Stakeholder Collaboration: Work with clients and internal teams to understand requirements and communicate technical findings clearly to both technical and non\-technical audiences. * Ethical AI \& Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. * Mentorship \& Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. * Must be eligible for Security Clearance * Proficiency in Python and C\#. SQL or R is a plus. * Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. * Hands\-on experience with machine learning libraries such as scikit\-learn, TensorFlow, or PyTorch. * Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k\-means, anomaly detection, and time series forecasting. * Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross\-validation. * Experience developing and implementing end to end observability and monitoring for AI. * Experience working with large, complex, or messy datasets. * Excellent analytical and problem\-solving skills. * Strong communication and interpersonal skills. * Ability to work independently and as part of a team. * Commitment to continuous learning and development. * Hybrid working model with some flexible working * 25 days’ holiday * Private Medical Health care via Vitality * Pension contribution, Life Assurance * Professional certifications supported as part of learning and development. * A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well\-being services. * Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another. If you need any reasonable adjustments or extra support during the recruitment process, please contact us at reasonableadjustments@netcompany.com. Work Location: Leeds, ENG, UK Availability: Full time
Job Title: Machine Learning Engineer Company: Recycleye Job Category: Machine Learning Roles & Responsibilities: At Recycleye we are revolutionising recycling. Our ground\-breaking AI\-powered robots and optical sorters are making waste sorting faster, cleaner and more profitable. With our advanced tech, the previously unsortable can now be sorted efficiently and effectively. Founded in 2019, we have grown rapidly ever since, with installations at leading waste management companies across Europe and the US. Our team develops new features across Recycleye's waste sorting and plant monitoring products, improving the end\-to\-end performance of our systems. That might mean evaluating and deploying new model architectures, adapting ideas from ML papers to our use cases, implementing novel object tracking algorithms, diving deep into camera optics and calibration, or making our DeepStream pipelines more efficient. Everything we build runs in production on real sorting lines, so we look for the solution that works best for the problem, which might mean stepping back and choosing a better camera rather than chasing a cool new model. You will be a core member of a small, high\-impact ML R\&D team. Building new features and developing better ways to measure how well our products perform, whether that's sorting a waste stream or understanding what's in it, and how real site conditions affect that performance. You will work closely with our data team, who train models day to day for client projects and rely on the tools we build, and with colleagues developing a new plant monitoring product. You will also help support our deployed systems and spend time on site, getting hands\-on with the waste they sort. As the team develops, you will help shape how we work, from code review to testing, and take on more responsibility for planning and decision\-making. Along the way you will build a deep understanding of our products and the waste sorting industry, keep up with advances in computer vision, and share what we learn across the company. We work mostly in Python, with some Go, deploying models and algorithms to NVIDIA Jetson devices running DeepStream pipelines, supported by Docker, GitHub Actions and Azure. * Your work regularly reaches production and makes a measurable difference to how our products perform. * You bring new ideas to the table, test them, and help shape what we build next. * You grow into owning technical areas of our systems, and become a trusted reviewer and planning partner for the team. * Teams across the company, from data to install and support, know to come to you, and you help them get the best from our systems. * Our ways of working and measuring performance keep improving, so that our systems get better with every deployment. * Models: computer vision detector\-classifier models (YOLO, RF\-DETR), segmentation models * Algorithms: multi\-object tracking, camera calibration, homography transforms * Edge deployment: NVIDIA Jetson, DeepStream / GStreamer * Infrastructure: Docker, CI/CD (e.g. GitHub Actions), cloud platforms (Azure, AWS, GCP, etc.) * MLOps: model evaluation and monitoring in production * Programming languages: Go * Tooling: building tools used by other teams * Hardware: physical systems or robotics, cameras and lenses * Commercial awareness: understanding how technical choices affect customers and the business * Day 1 health insurance through Vitality * Unlimited holiday * £1,000 professional development budget per year * Monthly team socials * Direct influence over technical direction Work Location: London, ENG, UK Availability: Full time
Job Title: Engineering Manager II Company: GoCardless Job Category: Machine Learning Roles & Responsibilities: GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start\-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real\-time payments and open banking. With US$130bn\+ processed annually across 30\+ countries, we handle recurring and one\-off payments without the chasing, stress, or expensive fees. Our end\-to\-end payment platform also features AI\-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. ### The role As Engineering Manager, you will lead a cross\-functional team of engineers, a designer and data scientists, building intelligent products that use machine learning and AI. You will take ownership of the payment intelligence products we have already built, and work with your team and product manager to decide what we build next. We give teams problems to solve rather than tasks to complete, so you and your team will own what gets built, how it gets built and how success is measured. You will be accountable for the quality, delivery and operation of everything the team ships, and you will look after your people through 1:1s, feedback and career development. You'll step in wherever the team needs you, and earn credibility with senior engineers and data scientists within the team and across product development. * Shipping stuff: you’ll work with your team to support changes to completion, delivering consistent positive impact across your product area. Being comfortable delivering a range of projects: from MVP experiments testing a hypothesis to a new feature * Developing talent: You hire and grow engineers into being the best engineers they can be, while maintaining a supportive and engaging team culture * Raising the technical bar: You insist on high standards of technical design and implementation and ensure your systems are operationally excellent * Deliver project work while managing the expectations of your stakeholders * Plan and prioritise impactful technical investment initiatives for your teams * Be a reflection of the GC Values that help us work with one another effectively * Professional experienced in coding \- with Python and Ruby on Rails for backend and JavaScript/React on frontend, and a commitment to building reliable, well\-tested systems * Enthusiastic about working in a strong culture of experimentation, testing and learning \- to help us in experimenting ways to grow our product! * Someone excited about supporting and growing a group of engineers, helping them become the best engineers they can be * Somebody able to effectively communicate \- mainly technical topics to technical and non\-technical audiences * Collaboration and cross\-functional work \- we have a Product Manager, Designer and Data Scientists as part of our team and work with a lot of other commercial teams across the business * High agency: We’re after people who aren’t afraid of a challenge and will take ownership of problems they come across, help to resolve them and adapt to a constantly changing environment * Wellbeing \- stay healthy with dedicated support and medical cover * Work away scheme \- gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working \- allows you to work flexibly, around your lifestyle * Parental leave \- to suit everyone embarking on life's great adventure * Learning Budget \- lead your own development with an annual learning budget * Time off \- generous holiday allowance, \+ 3 annual volunteer days, \+ 4 annual business\-wide wellness days (‘GC Fridays’) We're an organisation defined by our values; We start with why*before we begin any project, to ensure it’s aligned with our mission. We make it happen*, working with urgency and taking personal accountability for getting things done. We act with integrity*, always. We care deeply* about what we do and we know it's essential that we be humble* whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support. Work Location: London, ENG, UK Availability: Full time
Job Title: Data Scientist - Senior Associate - Applied AI & Machine Learning Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As an Applied AI \& Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context\-management capabilities, develop LLM\-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions. You will join a small, globally connected team with the resources and impact of one of the world's largest financial institutions. Job Responsibilities: * Design and implement scalable architecture for LLM\-powered investment tools, ensuring integration, governance, observability, and access control * Build and scale AI applications and automated workflows using models, retrieval, and tools, with orchestration for state management and human oversight * Develop context\-management and retrieval\-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs * Create reliable data and knowledge pipelines that transform enterprise content into high\-quality inputs for AI applications * Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation * Implement evaluation and end\-to\-end observability for AI systems, optimizing for quality, groundedness, task completion, latency, token usage, cost, reliability, and business impact * Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first\-class business in a first\-class way approach to serving clients drives everything we do. We strive to build trusted, long\-term partnerships to help our clients achieve their business objectives. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: London, ENG, UK Availability: Full time
